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Chapter Contents
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Book Title: Methods in Bioengineering: Systems Analysis of Biological Networks
Editors: Arul Jayaraman and Juergen Hahn, Texas A&M University
Chapter Contents: CH1-2 | CH3-4 | CH5-6 | CH7-8 | CH9-10 | CH11-12 | CH13-14
Jayaraman book cover
Methods in Bioengineering: Systems Analysis of Biological Networks
Arul Jayaraman and Juergen Hahn, Texas A&M University
ISBN: 978-1-59693-406-1
Copyright: 2009
Pages: 330
Price: $129/£79
 
 
 
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Chapter 13
Transcriptome Analysis of Regulatory Networks

13.1 spacer Introduction
13.2 Materials
13.3.1.1 Cell Harvesting
13.3.1.2 For E.coli
13.3.2 RNA purification
13.3.2.1 Yeast
13.3.2.2 E. coli
13.3.2.3 DNaseI digestion to remove residual DNA
13.3.2.4 Quantify and check RNA quality
13.3.3 Transcriptional profiling using DNA microarrays
13.3.3.1.1 Labeling
13.3.3.1.2 Hybridization
13.3.3.1.3 Washing and scanning
13.3.3.2.1 For mRNA
13.3.3.2.2 For total RNA
13.3.3.2.3 Hybridize to GeneChip arrays, wash, and scan following manufacturer’s instructions
13.4 Data Acquisition, Anticipated Results and Interpretation
13.4.1 Acquisition of DNA microarray data
13.4.2 Normalization
13.4.3 Network Component Analysis (NCA)
13.5 Discussion and Commentary
13.6 Troubleshooting Table
13.7 Application Notes
13.8 Summary Points
  References

Chapter 14
A Workflow From Time Series Gene Expression Profiling to Transcriptional Regulatory Networks

14.1 spacer Introduction
14.2 Materials
14.3 Methods
14.3.1 Identification Of Differentially Expressed Genes
14.3.1.1 Mixed-Effects Anova Of The Normalized Time Series Data
14.3.1.2 Local False Discovery Rate Analysis
14.3.2 Robust Clustering Of Differential Gene Expression Time Series Data Using Computational Negative Control Approach
14.3.3 Transcriptional Regulatory Network Analysis Using Paint
14.3.3.1 Generation Of Paint-Compatible Input Files
14.3.3.2 Identification Of Over-Represented Transcription Factor Binding Sites
14.4 Data Acquisition, Anticipated Results, And Interpretation
14.4.1 Selection Of Number Of Clusters:
14.4.2 Paint Result Interpretation For Gene Co-Expression Clusters:
14.5 Discussion And Commentary
14.5.1 Estimation Of Non-Differentially Expressed Genes (Pi.Not Value):
14.5.2 Threshold For Local False Discovery Rate Analysis:
14.5.3 Format Of Gene Identifiers:
14.5.4 Cluster Size Issues:
14.5.5 Transfac Version Issues:
14.5.6 Annotation Redundancy In The Gene List And Multiple Promoters:
14.5.7 Reference Feasnet Selection/Generation:
14.5.8 Multiple Testing Correction In Paint:
14.6 Troubleshooting Table
14.7 Application Notes
14.8 Summary Points
  Acknowledgements
  References

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